A matlab toolbox for continuous state transition algorithm
Xiaojun Zhou

TL;DR
This paper introduces a MATLAB toolbox designed for continuous state transition algorithm (STA), facilitating global optimization tasks with bound constraints and providing implementation details and usage examples.
Contribution
It presents a MATLAB implementation of continuous STA, including a toolbox and practical examples, enhancing understanding and application of the algorithm.
Findings
Provides a MATLAB toolbox for continuous STA
Demonstrates how to use the toolbox for bound-constrained optimization
Includes practical examples and implementation details
Abstract
State transition algorithm (STA) has been emerging as a novel stochastic method for global optimization in recent few years. To make better understanding of continuous STA, a matlab toolbox for continuous STA has been developed. Firstly, the basic principles of continuous STA are briefly described. Then, a matlab implementation of the standard continuous STA is explained, with several instances given to show how to use to the matlab toolbox to minimize an optimization problem with bound constraints. In the same while, a link is provided to download the matlab toolbox via available resources.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
